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Space-Time Lags: Specification Strategy In Spatial Regression Models

Author

Listed:
  • Fernando A. López Hernández

    (Universidad Politécnica de Cartagena)

  • Coro Chasco Yrigoyen

    (Universidad Autónoma de Madrid)

Abstract

he purpose of this article is to analyse the dynamic trend of spatial dependence, which is not only contemporary but time-lagged in many socio-economic phenomena. Firstly, we show some of the commonly used exploratory spatial data analysis (ESDA) techniques and we propose other new ones, the exploratory space-time data analysis (ESTDA) that evaluates the instantaneity of spatial dependence. We also propose the space-time correlogram as an instrument for a better specification of spatial lag models, which should include both kind of spatial dependence. Some applications with economic data for Spanish provinces shed some light upon these issues.

Suggested Citation

  • Fernando A. López Hernández & Coro Chasco Yrigoyen, 2004. "Space-Time Lags: Specification Strategy In Spatial Regression Models," Econometrics 0411005, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0411005
    Note: Type of Document - pdf; pages: 21
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0411/0411005.pdf
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    References listed on IDEAS

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    Cited by:

    1. Massimiliano Agovino & Antonio Garofalo, 2013. "Dipendenza spaziale contemporanea e non contemporanea nei tassi di disoccupazione: un tentativo di analisi empirica dei dati provinciali italiani," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2013(3), pages 45-82.

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    More about this item

    Keywords

    Spatial dependence; spatial diffusion; ESDA; correlogram; Spanish provinces;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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